Triple

T9249911
Position Surface form Disambiguated ID Type / Status
Subject macOS Catalina E222295 entity
Predicate introducedApplication P14571 FINISHED
Object Music
Music is Apple's media player and library application for macOS that organizes, plays, and manages music and other audio content, including access to Apple Music.
 E786578 NE FINISHED

How this triple was built (4 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Music | Statement: [macOS Catalina, introducedApplication, Music]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Music
Context triple: [macOS Catalina, introducedApplication, Music]
  • A. Music World
    Music World is a record label and entertainment company best known for managing and releasing music by prominent R&B and pop artists.
  • B. Tunes
    Tunes is a town in Portugal’s Algarve region known as a key railway junction linking major lines in the south of the country.
  • C. Music (album)
    Music is a 2000 studio album by American singer Madonna that blends dance-pop, electronica, and country influences and features the hit title track "Music."
  • D. USIC
    USIC is the commonly used acronym for the United States Intelligence Community, the federation of U.S. government agencies responsible for intelligence and national security activities.
  • E. MUS
    MUS is the standard abbreviation used to refer to Museum station, a public transit stop.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Music
Triple: [macOS Catalina, introducedApplication, Music]
Generated description
Music is Apple's media player and library application for macOS that organizes, plays, and manages music and other audio content, including access to Apple Music.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Music
Target entity description: Music is Apple's media player and library application for macOS that organizes, plays, and manages music and other audio content, including access to Apple Music.
  • A. Music World
    Music World is a record label and entertainment company best known for managing and releasing music by prominent R&B and pop artists.
  • B. Tunes
    Tunes is a town in Portugal’s Algarve region known as a key railway junction linking major lines in the south of the country.
  • C. Music (album)
    Music is a 2000 studio album by American singer Madonna that blends dance-pop, electronica, and country influences and features the hit title track "Music."
  • D. USIC
    USIC is the commonly used acronym for the United States Intelligence Community, the federation of U.S. government agencies responsible for intelligence and national security activities.
  • E. MUS
    MUS is the standard abbreviation used to refer to Museum station, a public transit stop.
  • F. None of above. chosen

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69ca841d2b18819089f9faf5b2c2aec0 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd05f7e9848190939f9199d0c1a572 completed April 1, 2026, 11:48 a.m.
NED1 Entity disambiguation (via context triple) batch_69d077fed7888190a5d36bc2ee4c2bd2 completed April 4, 2026, 2:31 a.m.
NEDg Description generation batch_69d0787b68ac819094acdec0ad7462ac completed April 4, 2026, 2:33 a.m.
NED2 Entity disambiguation (via description) batch_69d07900c7588190869c26dc76fe97e7 completed April 4, 2026, 2:35 a.m.
Created at: March 30, 2026, 7:31 p.m.